Implementation Challenges of AI for Agricultural Health Sustainability: An ISM Approach

This paper investigates the implementation challenges that hinder the integration of artificial intelligence (AI) within the agricultural supply chain. By employing Interpretive Structural Modelling (ISM), a systematic technique of analyzing complicated interrelationships, the authors identify and analyze the key factors that significantly impact the successful implementation of AI in this domain. This approach sheds light on the relationships between these factors, providing valuable insights in the agricultural sector aiming to leverage AI for overall supply chain optimization.